CERTIFIED AI AND PYTHON EDUCATOR

Program Overview

This course is structured to provide both theoretical understanding and hands-on application of AI prompt engineering and Python programming for educators. The weekly modules are designed to build skills progressively, with practical activities and classroom-ready tools.

This is a unique opportunity for educators to develop in-demand skills that support the growing need to teach applied math, data science, and emerging technologies in today’s classrooms. The Certified AI and Python Educator Program equips teachers with practical tools to integrate AI prompt engineering and Python programming into lesson plans, supporting deeper learning across STEM subjects. School districts looking to build internal capacity for future-ready teaching are encouraged to nominate passionate educators for this professional development experience. Due to the high level of personalized instruction and hands-on learning, space is limited and acceptance is based on a selective application process. Apply now to bring innovative learning to your students and lead the way in 21st-century education.

📅 Schedule

Monday - Thursday

9am – 1pm EST

National Computer Science Standards

AI and Python Certified Educator Training Program

Real-World Development. Instructor-Focused. Nationally Aligned.

This 7-week, 84-hour Python curriculum equips aspiring educators with both technical and pedagogical proficiency. Designed for postsecondary and adult learners preparing to teach coding, the program offers comprehensive instruction in Python fundamentals, backend development, databases, APIs, and data visualization, alongside structured opportunities for peer teaching.

💻 Tier I: Python Fundamentals & Computational Thinking

Students begin with essential programming constructs: data types, control structures, loops, functions, and collections. These core topics directly reinforce computational thinking, problem decomposition, and abstraction.

Participants will:

• Understand and apply key programming concepts like variables, functions, and loops

• Use modular design with functions and reusable components

• Structure and debug logical sequences

• Read and write files (CSV, JSON) to work with real-world data

CSTA Standards Alignment:

• 2-AP-10: Use flowcharts or pseudocode to represent algorithms

• 2-AP-13: Decompose problems and create functions to solve them

• 3A-AP-13: Create procedures with parameters to organize code

• 3A-AP-17: Decompose problems and subproblems into parts to facilitate the design, implementation, and review

🧱 Tier II: Project-Based Learning & Object-Oriented Design

Midway through the course, participants tackle structured projects like a Choose Your Own Adventure game and a Library Management System using Object-Oriented Programming.

Through these projects, they:

• Learn encapsulation, classes, and attributes

• Design multi-file projects with importable modules

• Apply iterative design processes and receive structured peer feedback

CSTA Standards Alignment:

• 3A-AP-14: Create and use libraries of code for code reuse

• 3B-AP-21: Develop and use a series of test cases to verify that a program performs as intended

• 3B-AP-23: Evaluate a program’s efficiency, readability, and clarity

🌐 Tier III: APIs, Web Development, & Databases

In the second half of the course, students build backend applications using Flask and SQL. They consume APIs and design their own RESTful services. Students build and deploy real CRUD applications with persistent storage and integrate external data sources.

Key skills include:

• Using Python’s requests to access public APIs

• Creating Flask routes and backend endpoints

• Integrating SQLite/PostgreSQL with SQLAlchemy ORM

• Building and querying SQL databases

• Structuring RESTful APIs for real-world use cases

CSTA Standards Alignment:

• 3A-NI-05: Demonstrate effective use of network protocols

• 3B-AP-20: Evaluate and select software tools and libraries that meet project requirements

• 3A-DA-11: Create interactive data visualizations using appropriate tools and design principles

📊 Tier IV: Data Analysis, Web Scraping, and Visualization

Using Python libraries like pandas and matplotlib, students analyze and visualize datasets. They also learn basic web scraping with BeautifulSoup to extract live data from the web and transform it for meaningful use.

This unit helps students:

• Analyze and clean real-world data

• Generate graphs and charts

• Use web scraping for dynamic data acquisition

• Convey insights through visual storytelling

CSTA Standards Alignment:

• 3A-DA-10: Use data analysis tools and techniques to identify patterns in data

• 3A-DA-09: Translate between different data representations (e.g., tables, graphs, code)

🎤 Peer Teaching & Instructional Practice

As a course for future educators, this program includes two peer teaching sessions where students lead lessons on curriculum topics. This supports communication, content mastery, and confidence in instructional delivery.

Students will:

• Practice scaffolding content for different learning levels

• Give and receive structured feedback

• Simulate classroom pacing, explanation, and question-handling

CSTA Standards Alignment:

• 3A-IC-29: Collaborate in teams to build meaningful computational artifacts

• 3B-IC-27: Demonstrate the ability to communicate complex ideas clearly

🚀 Final Capstone

The course culminates in a capstone project that blends:

• Python scripting

• Database integration

• API consumption or exposure

• Data visualization

Capstones serve as both proof of technical proficiency and a launchpad for teaching others through well-documented, reviewable code.

🧩 Why It Matters

This Python LMS Instructor Program not only teaches software development — it develops future educators with the tools to teach it. Through rigorous content delivery, project-based learning, and standards-based alignment, it ensures participants walk away with confidence, clarity, and classroom-ready skills.